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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:LiuYongXin,ZOU Ping-hua.Comparative study on identification methods of pipe roughness coefficients in water networks[J].Journal of Harbin Institute Of Technology(New Series),2011,(6):133-138.DOI:10.11916/j.issn.1005-9113.2011.06.025.
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Comparative study on identification methods of pipe roughness coefficients in water networks
Author NameAffiliation
LiuYongXin School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China 
ZOU Ping-hua School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China 
Abstract:
In this paper,we improve object functions and constraint conditions of genetic algorithms (GAs) applied in PRCs identification of water networks.This identification method can increase calculation efficiency,but can not solve an identification problem with infinitely many solutions well.Then we propose PRCs identification based on the minimal norm method,which satisfies observability conditions and has advantages of high computing efficiency and short time consumption.The two identification methods are applied in a water network,and their identification results are compared under the same conditions.From the results,we know that PRCs identification based on the minimal norm method has advantages of higher computing efficiency,shorter time consumption and higher precision.
Key words:  PRCs  water networks  identification  improved GA  minimal norm method
DOI：10.11916/j.issn.1005-9113.2011.06.025
Clc Number:TU991.33
Fund:

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